With the rise of AI applications, especially generative AI tools, organizations are looking to I-O psychologists to provide insight regarding the best and most responsible use of this emerging technology. This workshop aims to build I-O psychologists’ capabilities in understanding the best use of AI tools by providing direct experience, enabling them to solve relevant challenges in their role. Facilitators will focus on practical approaches to deploying AI applications, providing participants with example use cases, a framework for considering how to choose different AI tools, and opportunities to apply these tools to current workforce challenges. Participants will generate immediate uses for these applications while also learning how they should consider potential uses as this technology evolves.
Questions? Contact the Program Coordinator: Kevin Impelman, PhD,Summit Leadership Partners
Presenters

Rob Stilson is an employee listening program manager at HP, Inc. and part-time professor for the University of Georgia.Before his current role, Rob served as a principal analyst in Talent Analytics and Insights at Boston Scientific. Prior to that, he was a manager of People Analytics at PwC on the Workforce Transformation team. Prior to working for PwC Rob was a senior human capital analyst with Lockheed Martin on the Employee Experience & Engagement team specializing in Employee Life Cycle Analytics and qualitative and quantitative Survey Analysis. Before joining Lockheed Martin, he was the director, Research and Test Development for TalentQuest, providing test and simulation creation for clients along with survey and ROI analysis. Preceding TQ, he was the senior manager, Research and Development for FurstPerson where he created computer adaptive and static tests for various clients. Additionally, he has experience as a freelance consultant providing reporting automation and testing expertise to various clients. Dr. Stilson earned his BS degree in Psychology from the University of Georgia and his PhD in Industrial/Organizational Psychology from the University of South Florida. He is a member of the Society for Industrial and Organizational Psychology (SIOP), People Analytics Future of Work (PAFOW), Georgia Association for Industrial Organizational Psychology (GAIOP), and an ally member of Blacks in Industrial Organizational Psychology (BIOP).

Richard N. Landers, PhD, is the John P. Campbell Distinguished Professor of Industrial-Organizational Psychology at the University of Minnesota and principal investigator of TNTLAB: Testing New Technologies in Learning, Assessment and Behavior. His research examines innovative technologies including games, gamification, artificial intelligence, and virtual reality used in psychometric assessment, employee selection, adult learning, and research methods. He is a Fellow of the Society for Industrial and Organizational Psychology, American Psychological Association, and Association for Psychological Science. His work appears primarily in psychology and interdisciplinary human–computer interaction journals. He is the author of three textbooks on statistics and research methods and has developed two edited scholarly volumes on technology and employee behavior. He is featured frequently in the popular press, such as Forbes, Business Insider, and Popular Science, and he regularly consults as president of Landers Workforce Science LLC by providing recommendations on or auditing of talent management systems incorporating artificial intelligence.
Intended Audience
Introductory. Little knowledge of the basic concepts covered in this learning program. Intended for someone new to the area with little to no background experience in the content area.
Learning Objectives
- Discuss methods to use AI applications to address at least three current work problems/challenges
- Apply a framework to assess ethical and legal considerations when applying AI applications to situations commonly faced in organizations
- Recognize use cases for and apply AI techniques to improve efficiency/effectiveness in I-O psychologist duties/responsibilities
- Utilize a framework to compare benefits and limitations of four different AI applications currently available for widespread utilization
- Understand how to utilize three unique AI applications for work with different types of organizational data
Times Offered
All times are in
timezone.
- Wed Apr 2nd 8:00 a.m. to 12:00 p.m.
- Wed Apr 2nd 1:00 p.m. to 5:00 p.m.
Delivery Type
In-Person
Certification Type
Continuing Education (CE)
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timezone.